Autonomous Vehicle Position Control for Crowd-Responsive Spacing
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Solution Overview
Problem
The challenge is to enhance the efficiency of movement between autonomously traveling vehicles when they are arranged at predetermined positions in a specific area, particularly in scenarios like mobile shopping malls, where the positional relationship between vehicles affects guest movement and congestion levels.
Innovation Solution
An information processing device and vehicle position control system that acquire the degree of congestion and adjust the positional relationship between vehicles by transmitting movement commands to ensure optimal spacing based on congestion levels, increasing intervals during high congestion and decreasing them during low congestion to improve mobility and reduce movement burdens.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple vehicles are arranged at predetermined positions to form a shopping mall, then the vehicles can collectively serve as a mobile shopping facility, but the movement efficiency of guests between vehicles deteriorates due to congestion and poor positional relationships
Solution Approach 1:
The patent implements dynamic repositioning of vehicles based on real-time congestion detection. The control unit continuously monitors person density in the predetermined range and automatically adjusts vehicle positions to optimize movement pathways, transforming the static vehicle arrangement into a dynamic system that adapts to changing crowd conditions
Solution Approach 2:
The system employs feedback mechanisms where the control unit detects congestion levels and uses this information to determine optimal positional relationships between vehicles. The detected congestion state feeds back into the position determination process, creating a closed-loop control system that continuously optimizes guest movement efficiency
2Area of stationary object
If vehicles are positioned closely together to maximize service area utilization, then the area efficiency improves, but the movement burden on guests increases due to congestion and limited pathways
Solution Approach 1:
The patent changes the spatial parameters of vehicle positioning based on congestion detection. The control unit adjusts the distances and relative positions of vehicles dynamically, modifying the physical layout parameters to maintain optimal guest flow patterns while maximizing service area utilization under different crowd conditions
3Device complexity
If a fixed positional relationship between vehicles is maintained, then the system complexity is reduced, but the ability to adapt to varying congestion levels deteriorates
Solution Approach 1:
The system implements self-service automation where the control unit autonomously detects congestion levels and determines optimal vehicle positions without requiring manual intervention. The system serves itself by automatically adjusting vehicle arrangements based on real-time crowd conditions, reducing operational complexity while maintaining high adaptability
Data Source
AI summary
An information processing device includes a control unit configured to perform: acquiring a degree of congestion of persons that are located in a predetermined range including a plurality of vehicles which is parked at predetermined positions and is able to travel autonomously; determining a positional relationship between the plurality of vehicles based on the degree of congestion; and transmitting a movement command to a first vehicle which is a vehicle which is requested to move out of the plurality of vehicles such that the determined positional relationship is satisfied.